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Tier-1 employer, metro location, mid-senior level, but niche investment-data specialization limits competition.
Deep investment-domain and regulatory data platform requirements make industry transfers difficult.
Requires 8+ years, investment-data domain expertise, Snowflake/Databricks, cloud, and regulated-environment experience.
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Lead design and implementation of investment data models, operational data stores, and data APIs for the SAMDA platform focusing on production readiness, compliance, and platform standards.
Own day-to-day technical execution ensuring data correctness, domain fidelity, API reliability, and operational readiness in investment data pipelines and services.
Propose and help create reusable scalable data platform capabilities across multiple investment domains while collaborating with platform engineering, governance, and consumer teams.
8–12+ years of experience in data engineering, data architecture, or platform engineering roles.
Strong knowledge of investment data domains (holdings, positions, transactions, IBOR, ABOR, reference data).
Experience with cloud-native data platforms (Snowflake, Databricks) and cloud stacks (AWS/GCP).
Work Experience Required: 8–12+ years as specified in the JD.
Hands-on technical leader comfortable breaking down complex investment domain requirements into actionable technical solutions.
Deep domain expertise in investment data including accounting, custody, regulatory data, and operational data store design from scratch in enterprise settings.
Experience working in regulated, enterprise environments with strong governance, risk controls, and data platform scalability focus.